Brain-inspired architectures for next-generation microelectronic systems

基于大规模并行性、非线性动力学和简单细胞间复杂相互作用的类脑信息处理系统，可能为未来的工程电子系统提供新的计算机体系结构。是次访问香港科技大学的研究目的，是与施伯坦教授的小组合作，就现今和新兴集成电路技术的可实施性，评估多项脑启发计算方法的可行性。根据在这一领域分享的经验和专门知识，通过对现有模型的广泛研究、文献审查、需求分析和探索性设计，我们将确定将在未来研究项目中进一步采取的最有前途的方法。

Brain-like information processing systems, based on massive parallelism, non-linear dynamics and complex interactions between simple cells, may provide novel computer architectures suitable for engineering electronic systems of the future. The aim of this research visit to Hong Kong University of Science and Technology is to work, in collaboration with the group of Prof. Bertam Shi, on assessing the feasibility of a number of approaches to brain-inspired computation with respect to their implementability in present-day and emerging integrated circuit technologies. Based on the shared experiences and expertise in this area, through extensive study of existing models, literature reviews, requirements analysis and exploratory designs, we will identify the most promising approaches that will be taken further in future research projects.